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Security Scan Report: reimagined-funicular-jmjb.vercel.app

Redirected to:
https://reimagined-funicular-jmjb.vercel.app/
Submitted: Jul 3, 2026, 1:51:38 AMCompleted: Jul 3, 2026, 1:52:54 AMpubliccompleted
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Summary

This website contacted 6 IPs in 3 countries across 6 domains to perform 2 HTTP transactions. The main domain is reimagined-funicular-jmjb.vercel.app and was registered NaN years ago.

Submitted URL: http://reimagined-funicular-jmjb.vercel.app

Effective URL: https://reimagined-funicular-jmjb.vercel.app/Redirected

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Page impersonates Naver login on a Vercel subdomain with a credential form, indicating a high‑risk phishing site.

Risk Factors
Brand impersonation (Naver) on non‑official domain
Credential collection form (password field) on unknown‑age subdomain
Unranked / low‑reputation domain
Hosting platform subdomain (vercel.app) with no age data
Potential typo‑squatting / brand mismatch
Domain age information unavailable

Details

Page Title

Naver Sign in

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(87%)

Domain Information

Within the application-focused generic top-level domain (.app), 'reimagined-funicular-jmjb.vercel.app' is registered with subdomain 'reimagined-funicular-jmjb'. The registrable portion 'vercel' spans 6 characters split between 2 vowels and 4 consonants. Breaking it apart gives two words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://reimagined-funicular-jmjb.vercel.app

Page Load Overview

5.23s
Total Load Time
25
HTTP Requests
8
Domains
1.7 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:676 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network87% confidence
Type: webapp
Method: ml+structural

All Detected Categories

social media network
87%
corporate business
50%
technology software
31%
corporate
25%

Detected Features

Login Form
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5216.198.79.195United States
AS16509Amazon.com, Inc.
423.48.23.32Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
4151.101.193.155Fastly · CDNUnited States
AS54113Fastly, Inc.
4110.93.151.161Navercloud · CLOUDSouth Korea
AS23576NAVER Cloud Corp.
423.52.180.223Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
4125.209.233.29Navercloud · CLOUDSouth Korea
AS23576NAVER Cloud Corp.
256--

Detected Technologies5

X-UA-Compatible
100%
PasswordField
100%
Open-Graph-Protocolvwebsite
100%
JQueryv1.9.1
100%
jQuery CDN
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14082D72294F98C33411380E8BAF6EB296D998127C70E9D00B2FC1BE45FD7E869D1756D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:Y+B+PvYR8CcSaSlljbtigae4n3I3rdnNuEthT06e:/s3Y3aSnjbtigae4n3I3hn7AR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19183:JYFCFBR0ywSISCIsqALDyIFgkU+F7AKgCAURyyYAw7yVTxCy2ojQAioHAWgGMFjBAiCoMQXCQEgCgDlg7NeJEIEUcFgtlrED

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:e7e7ffe7e7ffe7ff
Perceptual Hash:e766899966668999
Difference Hash:0a0c040c0c100c00
Wavelet Hash:030727272727273f
Color Hash:#7bbf40

Other Hashes

Crop Resistant:0a0c040c0c100c00

Scan History

Scan history not available

Unable to load historical scan data